dc.contributor.author |
Mathur, Hitesh Dutt |
|
dc.date.accessioned |
2023-02-17T10:07:13Z |
|
dc.date.available |
2023-02-17T10:07:13Z |
|
dc.date.issued |
2016 |
|
dc.identifier.uri |
https://www.hindawi.com/journals/afs/2016/8308109/ |
|
dc.identifier.uri |
http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/9302 |
|
dc.description.abstract |
This paper attempts to develop a linearized model of automatic generation control (AGC) for an interconnected two-area reheat type thermal power system in deregulated environment. A comparison between genetic algorithm optimized PID controller (GA-PID), particle swarm optimized PID controller (PSO-PID), and proposed two-stage based PSO optimized fuzzy logic controller (TSO-FLC) is presented. The proposed fuzzy based controller is optimized at two stages: one is rule base optimization and other is scaling factor and gain factor optimization. This shows the best dynamic response following a step load change with different cases of bilateral contracts in deregulated environment. In addition, performance of proposed TSO-FLC is also examined for changes in system parameters with different type of contractual demands between control areas and compared with GA-PID and PSO-PID. MATLAB/Simulink® is used for all simulations. |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Hindawi Publishing Corporation |
en_US |
dc.subject |
EEE |
en_US |
dc.subject |
Fuzzy logic |
en_US |
dc.subject |
Multigeneration System |
en_US |
dc.title |
Power Frequency Oscillation Suppression Using Two-Stage Optimized Fuzzy Logic Controller for Multigeneration System |
en_US |
dc.type |
Article |
en_US |